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The Expert Test Manager
This book covers the ISTQB Expert Level Test Manager syllabus and is a complete, one-stop preparation guide for the reader who is otherwise qualified (based on experience as a test manager) to take the Expert Level Test Manager exam. Included are extensive hands-on exercises and sample exam questions that comply with ISTQB standards for Expert Level exams. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Verdana} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Verdana; min-height: 13.0px} The ISTQB certification program is the leading software tester certification program in the world. With more than 500,000 certificates issued and a global presence in 70 countries, you can be confident in the value and international stature that the ISTQB Expert Level certificate can offer you.
TMap NEXT
Business Driven Test Management (BDTM) This book offers business and IT managers insight into the possibilities of exerting increased business control of the test process: Business Driven Test Management (BDTM). The concept of BDTM prioritises the result and gives the client of the test process (whether a business or IT manager) the ability to manage the risk coverage, lead time and cost of the test process in both the planning and the execution phases. The book also contains an introduction to and summary of the TMap NEXT® Test Management Approach. TMap is the industry standard for testing that can be summarised in four essential principles: * Business Driven Test Management allows the cli...
Digital Information Design (DID) Foundation
Digital Information Design (DID) is primarily a business information management (BIM) model. As with any model it is used to help you to describe problems and test potential solutions. DID is not like any other method or framework model; it is independent of any other existing model or framework and does not claim to manage the entirety of the design of business information services. DID identifies useful and widely used best practices that are designed specifically for use in any phase of business information service development from idea, conception, specification, design, test, handover, service management and operation, or managing architectural issues or hardware and software installati...
How to Reduce the Cost of Software Testing
Plenty of software testing books tell you how to test well; this one tells you how to do it while decreasing your testing budget. A series of essays written by some of the leading minds in software testing, How to Reduce the Cost of Software Testing provides tips, tactics, and techniques to help readers accelerate the testing process, improve the performance of the test teams, and lower costs. The distinguished team of contributors—that includes corporate test leaders, best paper authors, and keynote speakers from leading software testing conferences—supply concrete suggestions on how to find cost savings without sacrificing outcome. Detailing strategies that testers can immediately put ...
Advanced Software Testing - Vol. 3, 2nd Edition
This book is written for the technical test analyst who wants to achieve advanced skills in test analysis, design, and execution. With a hands-on, exercise-rich approach, this book teaches you how to define and carry out the tasks required to implement a test strategy. You will be able to analyze, design, implement, and execute tests using risk considerations to determine the appropriate effort and priority for tests. This book will help you prepare for the ISTQB Advanced Technical Test Analyst exam. Included are sample exam questions for most of the learning objectives covered by the latest (2012) ISTQB Advanced Level syllabus. The ISTQB certification program is the leading software tester ...
Mathematical Reviews
None
Process Mining
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to un...
